A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index
文献类型： 外文期刊
作者： Ghulam, Abduwasit 1 ; Li Zhao-Liang 2 ; Qin QiMing 2 ; Tong QingXi 2 ; Wang JiHua 2 ; Kasimu, Alimujiang 2 ; Zhu Lin 2 ;
作者机构： 1.Peking Univ, Inst Remote Sensing, GIS, Beijing 100871, Peoples R China
2.Peking Univ, Inst Remote Sensing, GIS, Beijing 100871, Peoples R China; Lab Sci Image Informat Teledetect, UMR7005, F-67400 Illkirch Graffenstaden, France; Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; St Louis Univ, Ctr Environm Sci, St Louis, MO 63103 USA; Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China; Chiba Univ, Ctr Environm Remote Sensing, Chiba 263, Japan
关键词： leaf water content; shortwave infrared perpendicular water stress index (SPSI); remote estimation of vegetation water content
期刊名称：SCIENCE IN CHINA SERIES D-EARTH SCIENCES （ 影响因子：1.588； 五年影响因子：1.42 ）
ISSN： 1006-9313
年卷期： 2007 年 50 卷 9 期
页码：
收录情况： SCI
摘要： In this paper, a new method for canopy water content (FMC) estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index (SPSI) is developed using NIR, SWIR wavelengths of Enhanced Thematic Mapper Plus (ETM+) on the basis of spectral features and distribution of surface targets with different water conditions in NIR-SWIR spectral space. The developed method is further explored with radiative transfer simulations using PROSPECT, Lillesaeter, SailH and 6S. It is evident from the results of validation derived from satellite synchronous field measurements that SPSI is highly correlated with FMC, coefficient of determination (R squared) and root mean square error are 0.79 and 26.41 %. The paper concludes that SPSI has a potential in vegetation water content estimation in terms of FMC.
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